Add to ORKGWe review some of the recent results obtained for constrained estimation, involving possibly nondifferentiable criterion functions. New tools are required to push consistency and asymptotic results beyond those that can be reached by classical means
We provide easy to verify sufficient conditions for the consistency and asymptotic normality of a cl...
This paper introduces a mathematical model for bound consistency of the con- straint AllDifferent. I...
This paper introduces a mathematical model for bound consistency of the con- straint AllDifferent. I...
This paper supplements the results of a new statistical approach to the problem of incomplete inform...
Theoretical constraints on economic-model parameters often are in the form of inequality restriction...
summary:We derive expressions for the asymptotic approximation of the bias of the least squares esti...
Theoretical constraints on economic-model parameters often are in the form of inequality restriction...
Theoretical constraints on economic-model parameters often are in the form of inequality restriction...
Parameter constraints are employed in a variety of situations in multidimensional estimation problem...
AbstractIn this article, an unconstrained Taylor series expansion is constructed for scalar-valued f...
Asymptotic properties of L_{1}-estimates in linear regression have been studied by many authors, see...
We consider two types of problems in maximum likelihood estimation of parameters of linear functions...
We address the problem of existence of unbiased constrained parameter estimators. We show that if th...
We address the problem of existence of unbiased constrained parameter estimators. We show that if th...
This paper introduces a mathematical model for bound consistency of the con- straint AllDifferent. I...
We provide easy to verify sufficient conditions for the consistency and asymptotic normality of a cl...
This paper introduces a mathematical model for bound consistency of the con- straint AllDifferent. I...
This paper introduces a mathematical model for bound consistency of the con- straint AllDifferent. I...
This paper supplements the results of a new statistical approach to the problem of incomplete inform...
Theoretical constraints on economic-model parameters often are in the form of inequality restriction...
summary:We derive expressions for the asymptotic approximation of the bias of the least squares esti...
Theoretical constraints on economic-model parameters often are in the form of inequality restriction...
Theoretical constraints on economic-model parameters often are in the form of inequality restriction...
Parameter constraints are employed in a variety of situations in multidimensional estimation problem...
AbstractIn this article, an unconstrained Taylor series expansion is constructed for scalar-valued f...
Asymptotic properties of L_{1}-estimates in linear regression have been studied by many authors, see...
We consider two types of problems in maximum likelihood estimation of parameters of linear functions...
We address the problem of existence of unbiased constrained parameter estimators. We show that if th...
We address the problem of existence of unbiased constrained parameter estimators. We show that if th...
This paper introduces a mathematical model for bound consistency of the con- straint AllDifferent. I...
We provide easy to verify sufficient conditions for the consistency and asymptotic normality of a cl...
This paper introduces a mathematical model for bound consistency of the con- straint AllDifferent. I...
This paper introduces a mathematical model for bound consistency of the con- straint AllDifferent. I...